Trust Evaluation on Facebook Using Multiple Contexts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU106340" target="_blank" >RIV/00216305:26230/13:PU106340 - isvavai.cz</a>
Result on the web
<a href="http://www.ceur-ws.org/Vol-997/trum2013_proceedings.pdf" target="_blank" >http://www.ceur-ws.org/Vol-997/trum2013_proceedings.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Trust Evaluation on Facebook Using Multiple Contexts
Original language description
This paper applies the term trust from the point of view of articial intelligence to social network analysis methods. It evaluates current available interactions for a model of trust considering various social networks. A mathematical model of trust for Facebook is designed. This model is implemented in Python programming language. Experiments are conducted on a sample amount of Facebook users and furthermore analysed from the perspective of both articial intelligence and social psychology.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
CEUR Workshop Proceedings
ISSN
1613-0073
e-ISSN
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Volume of the periodical
2013
Issue of the periodical within the volume
997
Country of publishing house
DE - GERMANY
Number of pages
10
Pages from-to
23-32
UT code for WoS article
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EID of the result in the Scopus database
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